1 00:00:00,000 --> 00:00:04,570 [MUSIC] 2 00:00:04,570 --> 00:00:06,034 Hey, it's Carlos. 3 00:00:06,034 --> 00:00:08,199 >> It's Carlos. 4 00:00:08,199 --> 00:00:10,209 >> Where have you been? 5 00:00:10,209 --> 00:00:11,757 >> Vacation I guess. 6 00:00:11,757 --> 00:00:12,680 >> Vacation? 7 00:00:13,830 --> 00:00:17,760 Nice, well while you've been on vacation, we've been working really hard. 8 00:00:17,760 --> 00:00:21,900 Well, you've been working really hard, and as a part of it 9 00:00:21,900 --> 00:00:25,810 you've learned a lot of really important methods for clustering and retrieval. 10 00:00:27,100 --> 00:00:31,140 Not only have you learned algorithms and models and methods but you've learned 11 00:00:31,140 --> 00:00:36,090 ways to think about scaling up these methods to really large data sets. 12 00:00:36,090 --> 00:00:38,890 >> The techniques we discussed here in this course are used in 13 00:00:38,890 --> 00:00:40,880 most applications today. 14 00:00:40,880 --> 00:00:43,230 From retrieving documents on the web, 15 00:00:43,230 --> 00:00:49,112 all the way to dealing with images on your phone, on your watch, on any device today. 16 00:00:49,112 --> 00:00:49,755 >> Which watch? 17 00:00:49,755 --> 00:00:50,298 >> No watch. 18 00:00:50,298 --> 00:00:52,292 >> Okay. Well, he's a very- 19 00:00:52,292 --> 00:00:53,326 >> Your watch. 20 00:00:53,326 --> 00:00:56,996 >> [LAUGH] Very device-heavy person, here. 21 00:00:56,996 --> 00:01:00,452 >> [LAUGH] The key here is that you didn't just learn the very basics, but 22 00:01:00,452 --> 00:01:03,074 you learned, really, lots of advanced concepts, 23 00:01:03,074 --> 00:01:07,160 like how to scale to large data sets with things like KD3s, and LSH. 24 00:01:07,160 --> 00:01:11,147 These are really cool techniques that are super-useful in practice, and 25 00:01:11,147 --> 00:01:12,991 super-useful in the real world. 26 00:01:12,991 --> 00:01:14,455 LDA is also pretty cool. 27 00:01:14,455 --> 00:01:16,416 >> Pretty cool. 28 00:01:16,416 --> 00:01:18,713 [LAUGH] >> [LAUGH] 29 00:01:18,713 --> 00:01:19,573 >> But in summary, 30 00:01:19,573 --> 00:01:23,507 these were very advanced concepts, lots of hard work that you guys did, and 31 00:01:23,507 --> 00:01:26,705 lots of exciting things left to do in this specialization, so 32 00:01:26,705 --> 00:01:29,610 we look forward to seeing you in the next course. 33 00:01:29,610 --> 00:01:32,290 >> Yeah, come join us, next course. 34 00:01:32,290 --> 00:01:32,860 >> See you. 35 00:01:32,860 --> 00:01:33,869 >> See you. 36 00:01:33,869 --> 00:01:37,899 [MUSIC]